{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1f89506a-6dda-4e4d-9c44-54f6815f59aa",
   "metadata": {},
   "source": [
    "## 使用 pdfplumber 解析 PDF 文件\n",
    "\n",
    "### 项目简介\n",
    "\n",
    "[pdfplumber](https://github.com/jsvine/pdfplumber) 项目(基于pdfminer.six开发)，支持解析PDF文件，获取每个文本字符、矩形和线条的详细信息。此外还支持表格提取和可视化调试。\n",
    "\n",
    "对于机器生成的PDF而言效果最佳，不适用于扫描得到的PDF。\n",
    "\n",
    "支持：Python 3.8~3.11\n",
    "\n",
    "![](images/pdfplumber.png)\n",
    "\n",
    "\n",
    "本 Notebook 主要内容如下：\n",
    "\n",
    "- 加载PDF文件\n",
    "- 提取单页文本\n",
    "- 提取单页表格\n",
    "- 可视化调试页面\n",
    "- 提取页面图像"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18fcace0-03a5-4840-8b46-ed5cf0dcda68",
   "metadata": {},
   "source": [
    "### 加载PDF文件\n",
    "\n",
    "要开始处理PDF，请调用`pdfplumber.open(x)`方法，其中`x`可以是：\n",
    "\n",
    "- PDF 文件路径\n",
    "- 作为字节加载的文件对象\n",
    "- 作为字节加载的类似文件的对象\n",
    "\n",
    "open方法将返回一个`pdfplumber.PDF`类的实例。\n",
    "\n",
    "##### 高级加载参数\n",
    "\n",
    "要加载受密码保护的PDF，请传递`password`关键字参数，例如：`pdfplumber.open(\"file.pdf\", password=\"test\")`。\n",
    "\n",
    "要设置布局分析参数到`pdfminer.six`的布局引擎中，请传递`laparams`关键字参数，例如：`pdfplumber.open(\"file.pdf\", laparams={\"line_overlap\": 0.7})`。\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84f147ee-9fb2-40ff-9bc9-a7a99bf5f99b",
   "metadata": {},
   "source": [
    "### pdfplumber.PDF 类(Top-level)\n",
    "\n",
    "`pdfplumber.PDF`类表示一个独立的PDF文件，两个主要成员变量：\n",
    "\n",
    "| 属性 | 描述 |\n",
    "|----------|-------------|\n",
    "|`.metadata`| 一个由PDF的 `Info` 尾部信息中的元数据键/值对组成的字典。通常包括 \"CreationDate,\" \"ModDate,\" \"Producer,\" 等等。|\n",
    "|`.pages`| 包含每个已加载页面的 `pdfplumber.Page` 实例的列表。|\n",
    "\n",
    "一个主要成员方法：\n",
    "\n",
    "| 方法 | 描述 |\n",
    "|--------|-------------|\n",
    "|`.close()`| 默认情况下，`Page` 对象会缓存其布局和对象信息，以避免重新处理。然而，在解析大型PDF时，这些缓存的属性可能需要大量内存。你可以使用此方法来清除缓存并释放内存。（在 `<= 0.5.25` 版本中，使用 `.flush_cache()`。）|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1b500262-a7a8-4ad1-8bdf-47de01ddab9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pdfplumber\n",
    "\n",
    "pdf = pdfplumber.open(\"The_Old_Man_of_the_Sea.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "76ccc94f-3cfb-4db4-bfdb-b368f0484bf8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'CreationDate': \"D:20060717205532+08'00'\",\n",
       " 'Subject': 'For Personal Learning!',\n",
       " 'Author': 'Asiaing.com',\n",
       " 'Creator': 'PScript5.dll Version 5.2',\n",
       " 'Producer': 'Acrobat Distiller 7.0.5 (Windows)',\n",
       " 'ModDate': \"D:20060717210222+08'00'\",\n",
       " 'Title': 'Hemingway, Ernest - The Old Man and the Sea'}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf.metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6678c068-6782-4f88-b637-b2bf7ab97027",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "CropBox missing from /Page, defaulting to MediaBox\n",
      "CropBox missing from /Page, defaulting to MediaBox\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<Page:1>,\n",
       " <Page:2>,\n",
       " <Page:3>,\n",
       " <Page:4>,\n",
       " <Page:5>,\n",
       " <Page:6>,\n",
       " <Page:7>,\n",
       " <Page:8>,\n",
       " <Page:9>,\n",
       " <Page:10>,\n",
       " <Page:11>,\n",
       " <Page:12>,\n",
       " <Page:13>,\n",
       " <Page:14>,\n",
       " <Page:15>,\n",
       " <Page:16>,\n",
       " <Page:17>,\n",
       " <Page:18>,\n",
       " <Page:19>,\n",
       " <Page:20>,\n",
       " <Page:21>,\n",
       " <Page:22>,\n",
       " <Page:23>,\n",
       " <Page:24>,\n",
       " <Page:25>,\n",
       " <Page:26>,\n",
       " <Page:27>,\n",
       " <Page:28>,\n",
       " <Page:29>,\n",
       " <Page:30>,\n",
       " <Page:31>,\n",
       " <Page:32>,\n",
       " <Page:33>,\n",
       " <Page:34>,\n",
       " <Page:35>,\n",
       " <Page:36>,\n",
       " <Page:37>,\n",
       " <Page:38>,\n",
       " <Page:39>,\n",
       " <Page:40>,\n",
       " <Page:41>,\n",
       " <Page:42>,\n",
       " <Page:43>,\n",
       " <Page:44>,\n",
       " <Page:45>,\n",
       " <Page:46>,\n",
       " <Page:47>,\n",
       " <Page:48>,\n",
       " <Page:49>,\n",
       " <Page:50>,\n",
       " <Page:51>,\n",
       " <Page:52>]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf.pages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0a7c47dc-d30d-4f30-9881-dcb7543e52e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pdfplumber.page.Page"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(pdf.pages[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b0d3374-01a5-406c-b91a-4b1f30941d77",
   "metadata": {},
   "source": [
    "### pdfplumber.Page 类\n",
    "\n",
    "`pdfplumber.Page` 类是 `pdfplumber` 的核心，表示PDF文件中一页单独的内容。\n",
    "\n",
    "当我们使用 `pdfplumber` 时，大部分操作都会围绕这个类展开。\n",
    "\n",
    "主要成员变量如下：\n",
    "\n",
    "| 属性 | 描述 |\n",
    "|----------|-------------|\n",
    "|`.page_number`| 顺序页码，从第一页开始为 `1`，第二页为 `2`，以此类推。|\n",
    "|`.width`| 页面的宽度。|\n",
    "|`.height`| 页面的高度。|\n",
    "|`.objects` / `.chars` / `.lines` / `.rects` / `.curves` / `.images`| 这些属性都是列表，每个列表包含页面上嵌入的每个此类对象的一个字典。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1d2d7a97-f830-4be9-b5f2-e4c187d26927",
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf = pdfplumber.open(\"test.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4f05b7bd-91f5-4091-b460-93f3363baa24",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "CropBox missing from /Page, defaulting to MediaBox\n",
      "CropBox missing from /Page, defaulting to MediaBox\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<Page:1>, <Page:2>]\n"
     ]
    }
   ],
   "source": [
    "pages = pdf.pages\n",
    "print(pages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3a9be6ef-7345-4b16-878d-e5df3238471b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pages[0].page_number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ea51868e-9428-45bc-a958-a287160b08ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "595 842\n"
     ]
    }
   ],
   "source": [
    "print(pages[0].width, pages[0].height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2f16a505-164c-4641-aef4-027c85d1a3f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<pdfplumber.display.PageImage at 0x1ed195c1ba0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 可视化第1页\n",
    "pages[0].to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8e2ecbfe-3051-42bc-8a4d-d68507dde9c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x1ed1958da20>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 可视化第2页（尝试调整分辨率和抗锯齿）\n",
    "pages[1].to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a800658b-c174-4ad2-a4c6-815bc21b08b5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "383841ab-b784-4323-ae47-d54a51fe150d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "661419f6-5cbc-4903-9ee4-38594feeafa0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a356c12b-f32c-41f6-b0e8-eb5ab0845919",
   "metadata": {},
   "source": [
    "### 提取单页文本\n",
    "\n",
    "\n",
    "`pdfplumber`库支持从任何给定的页面(`pdfplumber.Page`)中提取文本（包括裁剪和派生页面）。\n",
    "\n",
    "在提取文本的基础功能外，同时支持保留文本布局，识别单词和搜索页面中的文本\n",
    "\n",
    "#### 文本提取方法\n",
    "\n",
    "`pdfplumber.Page` 对象可以调用以下方法：\n",
    "\n",
    "| 方法 | 描述 |\n",
    "|--------|-------------|\n",
    "|`.extract_text(x_tolerance=3, y_tolerance=3, layout=False, x_density=7.25, y_density=13, **kwargs)`| 将页面的所有字符对象汇集成一个单一的字符串。<ul><li><p>当 `layout=False` 时：在一个字符的 `x1` 和下一个字符的 `x0` 之间的差异大于 `x_tolerance` 时添加空格。在一个字符的 `doctop` 和下一个字符的 `doctop` 之间的差异大于 `y_tolerance` 时添加换行符。</p></li><li><p>当 `layout=True`（*实验性功能*）时：尝试模仿页面上文本的结构布局，使用 `x_density` 和 `y_density` 来确定每个\"点\"（PDF的度量单位）的最小字符/换行符数量。所有剩余的 `**kwargs` 都传递给 `.extract_words(...)`（见下文），这是计算布局的第一步。</p></li></ul>|\n",
    "|`.extract_text_simple(x_tolerance=3, y_tolerance=3)`| `.extract_text(...)` 的稍快但不太灵活的版本，使用更简单的逻辑。|\n",
    "|`.extract_words(x_tolerance=3, y_tolerance=3, keep_blank_chars=False, use_text_flow=False, horizontal_ltr=True, vertical_ttb=True, extra_attrs=[], split_at_punctuation=False, expand_ligatures=True)`| 返回所有看起来像单词的东西及其边界框的列表。单词被认为是字符序列，其中（对于\"直立\"字符）一个字符的 `x1` 和下一个字符的 `x0` 之间的差异小于或等于 `x_tolerance` *并且* 一个字符的 `doctop` 和下一个字符的 `doctop` 之间的差异小于或等于 `y_tolerance`。对于非直立字符，采取类似的方法，但是测量它们之间的垂直距离，而不是水平距离。参数 `horizontal_ltr` 和 `vertical_ttb` 表示是否应从左到右阅读单词（对于水平单词）/从上到下（对于垂直单词）。将 `keep_blank_chars` 更改为 `True` 将意味着空白字符被视为单词的一部分，而不是单词之间的空格。将 `use_text_flow` 更改为 `True` 将使用PDF的底层字符流作为排序和划分单词的指南，而不是预先按x/y位置排序字符。（这模仿了在PDF中拖动光标突出显示文本的方式；就像那样，顺序并不总是看起来逻辑。）传递 `extra_attrs` 列表（例如，`[\"fontname\", \"size\"]` 将限制每个单词的字符具有完全相同的值，对于这些[属性](#char-properties)，并且结果的单词dicts将指示这些属性。将 `split_at_punctuation` 设置为 `True` 将在 `string.punctuation` 指定的标点处强制分割标记；或者你可以通过传递一个字符串来指定分隔标点的列表，例如，<code>split_at_punctuation='!\"&\\'()*+,.:;<=>?@[\\]^\\`\\{\\|\\}~'</code>。除非你设置 `expand_ligatures=False`，否则将展开诸如 `ﬁ` 之类的连字成其组成字母（例如，`fi`）。|\n",
    "|`.extract_text_lines(layout=False, strip=True, return_chars=True, **kwargs)`|*实验性功能*，返回代表页面上文本行的字典列表。`strip` 参数类似于Python的 `str.strip()` 方法，并返回没有周围空白的 `text` 属性。（只有当 `layout = True` 时才相关。）将 `return_chars` 设置为 `False` 将排除从返回的文本行dicts中添加单个字符对象。剩余的 `**kwargs` 是你将传递给 `.extract_text(layout=True, ...)` 的参数。|\n",
    "|`.search(pattern, regex=True, case=True, main_group=0, return_groups=True, return_chars=True, layout=False, **kwargs)`|*实验性功能*，允许你搜索页面的文本，返回匹配查询的所有实例的列表。对于每个实例，响应字典对象包含匹配的文本、任何正则表达式组匹配、边界框坐标和字符对象本身。`pattern` 可以是编译的正则表达式、未编译的正则表达式或非正则字符串。如果 `regex` 是 `False`，则将模式视为非正则字符串。如果 `case` 是 `False`，则以不区分大小写的方式执行搜索。设置 `main_group` 将结果限制为 `pattern` 中的特定正则组（`0` 的默认值表示整个匹配）。将 `return_groups` 和/或 `return_chars` 设置为 `False` 将排除添加匹配的正则组和/或字符的列表（作为 `\"groups\"` 和 `\"chars\"` 添加到返回的dicts）。`layout` 参数的操作方式与 `.extract_text(...)` 相同。剩余的 `**kwargs` 是你将传递给 `.extract_text(layout=True, ...)` 的参数。 __注意__：零宽度和全空白匹配被丢弃，因为它们（通常）在页面上没有明确的位置。 |\n",
    "|`.dedupe_chars(tolerance=1)`| 返回页面的版本，其中删除了重复的字符 — 那些与其他字符共享相同的文本、字体名、大小和位置（在 `tolerance` x/y 内）的字符。（参见 [Issue #71](https://github.com/jsvine/pdfplumber/issues/71) 以理解动机。）|\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "796103d6-0f83-4fd5-a9bd-5bc4b4c393a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 获取单页文本\n",
    "p1_text = pages[0].extract_text()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ffed75f0-ec46-478f-9b83-ca0156127206",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(p1_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b1ec2811-01a9-4e9d-8171-d3b083cf97f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 获取单页文本（保留布局）\n",
    "p1_text = pages[0].extract_text(layout=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "510f03e4-1a88-4bf7-b71a-f03ce3215444",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(p1_text)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c5eb0e9-3dca-4e10-8435-3261f748796b",
   "metadata": {},
   "source": [
    "**注意：表格也被文本解析出来了**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c57a531-892b-4f5b-99ab-d3a00e4c6623",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "61b998ea-ec34-4467-96af-2145c5bb63d4",
   "metadata": {},
   "source": [
    "### 提取单页表格\n",
    "\n",
    "\n",
    "`pdfplumber` 对表格提取的方法大量借鉴了 [Anssi Nurminen 的硕士论文](http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3)，并受到 [Tabula](https://github.com/tabulapdf/tabula-extractor/issues/16) 的启发。\n",
    "\n",
    "它的工作原理如下：\n",
    "\n",
    "1. 对于任何给定的PDF页面，找到那些（a）明确定义的线条和/或（b）由页面上单词的对齐方式暗示的线条。\n",
    "2. 合并重叠的，或几乎重叠的，线条。\n",
    "3. 找到所有这些线条的交点。\n",
    "4. 找到使用这些交点作为顶点的最精细的矩形集合（即，单元格）。\n",
    "5. 将连续的单元格分组成表格。\n",
    "\n",
    "#### 表格提取方法\n",
    "\n",
    "`pdfplumber.Page` 对象可以调用以下方法：\n",
    "\n",
    "| 方法 | 描述 |\n",
    "|--------|-------------|\n",
    "|`.find_tables(table_settings={})`|返回一个 `Table` 对象的列表。`Table` 对象提供对 `.cells`，`.rows`，和 `.bbox` 属性的访问，以及 `.extract(x_tolerance=3, y_tolerance=3)` 方法。|\n",
    "|`.find_table(table_settings={})`|类似于 `.find_tables(...)`，但返回页面上 *最大* 的表格，作为一个 `Table` 对象。如果多个表格的大小相同 —— 以单元格数量衡量 —— 此方法返回最接近页面顶部的表格。|\n",
    "|`.extract_tables(table_settings={})`|返回从页面上找到的 *所有* 表格中提取的文本，表示为一个列表的列表的列表，结构为 `table -> row -> cell`。|\n",
    "|`.extract_table(table_settings={})`|返回从页面上 *最大* 的表格中提取的文本（参见上面的 `.find_table(...)`），表示为一个列表的列表，结构为 `row -> cell`。|\n",
    "|`.debug_tablefinder(table_settings={})`|返回 `TableFinder` 类的一个实例，可以访问 `.edges`，`.intersections`，`.cells`，和 `.tables` 属性。|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f48b78be-103a-4efb-8c0e-1c7fb40cd880",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 获取单页表格\n",
    "p1_table = pages[0].extract_table()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ee3c888d-62e6-4e73-bcc0-0a7a587b6580",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Fruit', 'Color', 'Price (USD)'],\n",
       " ['Apple', 'Red', '1.20'],\n",
       " ['Banana', 'Yellow', '0.50'],\n",
       " ['Orange', 'Orange', '0.80'],\n",
       " ['Strawberry', 'Red', '2.50'],\n",
       " ['Blueberry', 'Blue', '3.00'],\n",
       " ['Kiwi', 'Green', '1.00'],\n",
       " ['Mango', 'Orange', '1.50'],\n",
       " ['Grape', 'Purple', '2.00']]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9e9e7d7f-348e-4991-a3fd-085bec06efa8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 获取单页所有表格\n",
    "tables = pages[0].extract_tables()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "dc2c8129-66e6-4ccd-9293-24de2b3fa06e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(tables)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "318abecd-36d1-450b-8f2c-381a78dbfe1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[['Fruit', 'Color', 'Price (USD)'],\n",
       "  ['Apple', 'Red', '1.20'],\n",
       "  ['Banana', 'Yellow', '0.50'],\n",
       "  ['Orange', 'Orange', '0.80'],\n",
       "  ['Strawberry', 'Red', '2.50'],\n",
       "  ['Blueberry', 'Blue', '3.00'],\n",
       "  ['Kiwi', 'Green', '1.00'],\n",
       "  ['Mango', 'Orange', '1.50'],\n",
       "  ['Grape', 'Purple', '2.00']]]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2fbffdd0-8954-4a83-93c0-36fa22dd59b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "p1_debug_table = pages[0].debug_tablefinder()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df8b8060-d054-4ebd-9ae5-34acaa8156d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "type(p1_debug_table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2951f438-a9c5-4e39-86d3-fe59a1989bfb",
   "metadata": {},
   "outputs": [],
   "source": [
    "p1_debug_table.tables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1ec5e80-fc09-4816-b5c4-893e95b6f367",
   "metadata": {},
   "source": [
    "#### 使用 Pandas.DataFrame 来展示和存储表格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "97c2a7c0-ecb6-41ec-bb39-9bbe12f86ab1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame(p1_table[1:], columns=p1_table[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "581baa04-d5a1-4ce3-8580-891eda837b4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fruit</th>\n",
       "      <th>Color</th>\n",
       "      <th>Price (USD)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Apple</td>\n",
       "      <td>Red</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Banana</td>\n",
       "      <td>Yellow</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Orange</td>\n",
       "      <td>Orange</td>\n",
       "      <td>0.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Strawberry</td>\n",
       "      <td>Red</td>\n",
       "      <td>2.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Blueberry</td>\n",
       "      <td>Blue</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Kiwi</td>\n",
       "      <td>Green</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Mango</td>\n",
       "      <td>Orange</td>\n",
       "      <td>1.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Grape</td>\n",
       "      <td>Purple</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Fruit   Color Price (USD)\n",
       "0       Apple     Red        1.20\n",
       "1      Banana  Yellow        0.50\n",
       "2      Orange  Orange        0.80\n",
       "3  Strawberry     Red        2.50\n",
       "4   Blueberry    Blue        3.00\n",
       "5        Kiwi   Green        1.00\n",
       "6       Mango  Orange        1.50\n",
       "7       Grape  Purple        2.00"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbb94c15-e006-455f-96bc-eece4e18cbd4",
   "metadata": {},
   "source": [
    "### 可视化调试页面\n",
    "\n",
    "`pdfplumber` 可视化调试工具可以帮助我们理解PDF文件的内容和结构，以及从中提取出来的对象。\n",
    "\n",
    "\n",
    "#### `PageImage` 类\n",
    "\n",
    "`pdfplumber.Page` 对象可以使用`.to_image()`方法，将任何页面（包括裁剪后的页面）转换为`PageImage`对象。\n",
    "\n",
    "`pdfplumber.Page.to_image()`方法主要参数：\n",
    "\n",
    "- resolution：所需每英寸像素数。默认值：72。类型：整数。\n",
    "- width：所需图像宽度（以像素为单位）。默认值：未设置，由分辨率确定。类型：整数。\n",
    "- height：所需图像高度（以像素为单位）。默认值：未设置，由分辨率确定。类型：整数。\n",
    "- antialias: 是否在创建图像时使用抗锯齿。将其设置为True可以创建具有较少锯齿的文本和图形，但文件大小会更大。默认值：False。类型：布尔值。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6e4b1b0b-5dcd-4507-a6d0-a978a5e469f2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<pdfplumber.display.PageImage at 0x1ed1a6b2050>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 可视化第一页\n",
    "pages[0].to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "877a430d-d933-4fec-8f5f-a3c0509b1de9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x1ed1a6b2b00>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 可视化第二页（尝试调整分辨率和抗锯齿）\n",
    "pages[1].to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3ef0aff-e2b9-4e1b-bb8e-e736185935ff",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5163fa2d-7a98-4c12-84d9-70e1182afde8",
   "metadata": {},
   "source": [
    "### 提取页面图像\n",
    "\n",
    "`pdfplumber.Page`  对象没有 extract_images 方法，所以不能直接从 PDF 页面中提取图像。\n",
    "\n",
    "但是，可以通过页面操作来截取和获取图像，`pdfplumber.Page`类相关成员变量如下：\n",
    "\n",
    "\n",
    "| 属性 | 描述 |\n",
    "|----------|-------------|\n",
    "|`.width`| 页面的宽度。|\n",
    "|`.height`| 页面的高度。|\n",
    "|`.objects` / `.chars` / `.lines` / `.rects` / `.curves` / `.images`| 这些属性都是列表，每个列表包含页面上嵌入的每个此类对象的一个字典。\n",
    "\n",
    "\n",
    "相关成员方法：\n",
    "\n",
    "| 方法 | 描述 |\n",
    "|--------|-------------|\n",
    "|`.crop(bounding_box, relative=False, strict=True)`| 返回裁剪到边界框的页面版本，边界框应表示为4元组，值为 `(x0, top, x1, bottom)`。裁剪的页面保留至少部分在边界框内的对象。如果对象只部分在框内，其尺寸将被切割以适应边界框。如果 `relative=True`，则边界框是从页面边界框的左上角偏移计算的，而不是绝对定位。（请参见 [Issue #245](https://github.com/jsvine/pdfplumber/issues/245) 以获取视觉示例和解释。）当 `strict=True`（默认值）时，裁剪的边界框必须完全在页面的边界框内。|\n",
    "|`.within_bbox(bounding_box, relative=False, strict=True)`| 类似于 `.crop`，但只保留 *完全在* 边界框内的对象。|\n",
    "|`.outside_bbox(bounding_box, relative=False, strict=True)`| 类似于 `.crop` 和 `.within_bbox`，但只保留 *完全在* 边界框外的对象。|\n",
    "|`.filter(test_function)`| 返回只有 `test_function(obj)` 返回 `True` 的 `.objects` 的页面版本。|\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c6c4c76-d425-4a0d-bd62-2f502afec961",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 从 PageImage 中获取页面图像分辨率\n",
    "pages[1].images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "29efdd4e-f31b-4612-a046-b9537cdb58ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "img = pages[1].images[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4eaf103b-bd3c-4081-861c-79f30438ea8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "bbox = (img[\"x0\"], img[\"top\"], img[\"x1\"], img[\"bottom\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d685120d-b734-4f99-9cdb-3636c08a56ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "cropped_page = pages[1].crop(bbox)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6b5e99e-85df-4e6c-8087-17b61f49eb7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 可视化裁剪后的第二页\n",
    "cropped_page.to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53fc4125-d027-4803-a080-bb2464694310",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 可视化裁剪后的第二页+抗锯齿\n",
    "cropped_page.to_image(antialias=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "46de8387-6bf1-47eb-b915-56b31ed690de",
   "metadata": {},
   "outputs": [],
   "source": [
    "cropped_page.to_image(resolution=1080)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3bd9f9ae-58d4-4f3a-aac9-3814a463ca55",
   "metadata": {},
   "outputs": [],
   "source": [
    "im = cropped_page.to_image(antialias=True)\n",
    "im.save(\"pdf_image_test.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bbb480bc-a7ee-48bf-bfcf-14120acf6e2f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a48babba-33d5-4529-ab98-c3c60ed541fb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd66c8f0-42be-4f7c-863c-68bf2b2ef996",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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